

WorkGenius Group
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in the Atlanta Metro area, with a focus on deploying models and developing data pipelines. Key skills include Python, TensorFlow, and PyTorch. Experience in production environments is required. Hourly rate is commensurate with experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date
May 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta Metropolitan Area
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🧠 - Skills detailed
#Deployment #Data Pipeline #ML (Machine Learning) #Scala #Python #Model Evaluation #PyTorch #TensorFlow
Role description
Title: Machine Learning Engineer
Location: Atlanta Metro
Responsibilities:
• Design, build, and deploy machine learning models that support business objectives and product needs
• Develop data pipelines and workflows for model training, evaluation, and production deployment
• Collaborate with product, engineering, and data teams to translate business requirements into scalable machine learning solutions
• Monitor model performance, accuracy, and reliability in production environments
• Continuously improve models through experimentation, testing, and iteration
Requirements:
• Experience developing and deploying machine learning models in production environments
• Strong proficiency in Python and common machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience working with data preprocessing, feature engineering, and model evaluation techniques
• Ability to collaborate effectively with cross-functional technical and business stakeholders
• Strong problem-solving skills and attention to model quality, scalability, and performance
Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.
Title: Machine Learning Engineer
Location: Atlanta Metro
Responsibilities:
• Design, build, and deploy machine learning models that support business objectives and product needs
• Develop data pipelines and workflows for model training, evaluation, and production deployment
• Collaborate with product, engineering, and data teams to translate business requirements into scalable machine learning solutions
• Monitor model performance, accuracy, and reliability in production environments
• Continuously improve models through experimentation, testing, and iteration
Requirements:
• Experience developing and deploying machine learning models in production environments
• Strong proficiency in Python and common machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience working with data preprocessing, feature engineering, and model evaluation techniques
• Ability to collaborate effectively with cross-functional technical and business stakeholders
• Strong problem-solving skills and attention to model quality, scalability, and performance
Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.






